PandaDoc and Mautic Integration

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Automatically update Mautic contacts based on PandaDoc document status changes, triggering personalized follow-ups. Latenode's visual editor and affordable pricing make this workflow easy to build and scale, unlike rigid tools.

Swap Apps

PandaDoc

Mautic

Step 1: Choose a Trigger

Step 2: Choose an Action

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How to connect PandaDoc and Mautic

Create a New Scenario to Connect PandaDoc and Mautic

In the workspace, click the โ€œCreate New Scenarioโ€ button.

Add the First Step

Add the first node โ€“ a trigger that will initiate the scenario when it receives the required event. Triggers can be scheduled, called by a PandaDoc, triggered by another scenario, or executed manually (for testing purposes). In most cases, PandaDoc or Mautic will be your first step. To do this, click "Choose an app," find PandaDoc or Mautic, and select the appropriate trigger to start the scenario.

Add the PandaDoc Node

Select the PandaDoc node from the app selection panel on the right.

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Configure the PandaDoc

Click on the PandaDoc node to configure it. You can modify the PandaDoc URL and choose between DEV and PROD versions. You can also copy it for use in further automations.

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Add the Mautic Node

Next, click the plus (+) icon on the PandaDoc node, select Mautic from the list of available apps, and choose the action you need from the list of nodes within Mautic.

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Authenticate Mautic

Now, click the Mautic node and select the connection option. This can be an OAuth2 connection or an API key, which you can obtain in your Mautic settings. Authentication allows you to use Mautic through Latenode.

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Configure the PandaDoc and Mautic Nodes

Next, configure the nodes by filling in the required parameters according to your logic. Fields marked with a red asterisk (*) are mandatory.

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Set Up the PandaDoc and Mautic Integration

Use various Latenode nodes to transform data and enhance your integration:

  • Branching: Create multiple branches within the scenario to handle complex logic.
  • Merging: Combine different node branches into one, passing data through it.
  • Plug n Play Nodes: Use nodes that donโ€™t require account credentials.
  • Ask AI: Use the GPT-powered option to add AI capabilities to any node.
  • Wait: Set waiting times, either for intervals or until specific dates.
  • Sub-scenarios (Nodules): Create sub-scenarios that are encapsulated in a single node.
  • Iteration: Process arrays of data when needed.
  • Code: Write custom code or ask our AI assistant to do it for you.
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Save and Activate the Scenario

After configuring PandaDoc, Mautic, and any additional nodes, donโ€™t forget to save the scenario and click "Deploy." Activating the scenario ensures it will run automatically whenever the trigger node receives input or a condition is met. By default, all newly created scenarios are deactivated.

Test the Scenario

Run the scenario by clicking โ€œRun onceโ€ and triggering an event to check if the PandaDoc and Mautic integration works as expected. Depending on your setup, data should flow between PandaDoc and Mautic (or vice versa). Easily troubleshoot the scenario by reviewing the execution history to identify and fix any issues.

Most powerful ways to connect PandaDoc and Mautic

PandaDoc + Zoom + Mautic: When a PandaDoc document status changes to 'accepted', register the contact in Mautic for an onboarding webinar in Zoom.

Mautic + PandaDoc + Slack: When a contact views a PandaDoc document after a Mautic email campaign, send a Slack message to the sales team.

PandaDoc and Mautic integration alternatives

About PandaDoc

Automate document workflows with PandaDoc in Latenode. Generate, send, and track proposals/contracts without manual steps. Use Latenode to trigger PandaDoc actions from your CRM or database. Parse data, pre-fill templates, and update records when documents are signed โ€“ saving time and ensuring data accuracy across systems. Scales easily.

About Mautic

Automate marketing with Mautic in Latenode. Sync contacts, track campaigns, and trigger actions based on customer behavior. Integrate Mautic with other apps for a 360ยฐ view of your customers. Use Latenode's visual editor and code blocks to build custom workflows that adapt to your business needs without complex coding or expensive add-ons.

PandaDoc + Mautic integration

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FAQ PandaDoc and Mautic

How can I connect my PandaDoc account to Mautic using Latenode?

To connect your PandaDoc account to Mautic on Latenode, follow these steps:

  • Sign in to your Latenode account.
  • Navigate to the integrations section.
  • Select PandaDoc and click on "Connect".
  • Authenticate your PandaDoc and Mautic accounts by providing the necessary permissions.
  • Once connected, you can create workflows using both apps.

Can I automatically update Mautic contacts after PandaDoc document completion?

Yes, with Latenode, trigger Mautic updates upon PandaDoc document completion. This ensures your contact data is always current, automating key sales processes and enhancing lead nurturing.

What types of tasks can I perform by integrating PandaDoc with Mautic?

Integrating PandaDoc with Mautic allows you to perform various tasks, including:

  • Create PandaDoc documents when a new contact is added in Mautic.
  • Update contact properties in Mautic when a PandaDoc is completed.
  • Send personalized PandaDoc proposals triggered by Mautic campaign stages.
  • Track PandaDoc document status changes within Mautic activity logs.
  • Automatically add new PandaDoc recipients as contacts in Mautic.

How do I handle PandaDoc document webhooks efficiently in Latenode?

Latenode simplifies webhook handling with visual blocks and code functions, letting you process data from PandaDoc without manual server configuration.

Are there any limitations to the PandaDoc and Mautic integration on Latenode?

While the integration is powerful, there are certain limitations to be aware of:

  • Complex PandaDoc document structures might require custom JavaScript parsing.
  • Rate limits of the PandaDoc and Mautic APIs can affect high-volume workflows.
  • Custom field mappings may need adjustments based on data type compatibility.

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